Natalie Kitroff

How good is this stuff?

I mean, can it debug itself?

Because I guess I'm seeing that there is also a lot of doubt and skepticism that you can really do this only with an AI tool at this point.

Well, can you just tell me quickly, like, what's making this improve so quickly?

What?

What does that mean?

So AI models making AI models, just to be clear about what we're saying here.

Is that scary to you?

Because it gives me the vibe of a sci-fi reality.

I have to say for the companies and for the people that have been involved in AI, this also has to really be a kind of proof of concept moment for them because there has been so much skepticism about AI over the last year, a lot of fear about frothiness in the market, about whether we're in a bubble, about whether AI is really gonna live up to its potential.

And what you've described is a transformative tool that can be incredibly useful

And with that, the potential for real job loss.

So any way you slice it, this is AI doing what they said it probably would.

Kevin, I think it's worth pausing here for a moment.

It's very easy to talk about job loss from all this in the abstract, but at a practical level, if a whole class of workers just lose their jobs, if those jobs cease to exist—

we'd be talking about a pretty massive impact on the economy writ large.

And I mean, this could hypothetically just be the very beginning.

If agents like these can do other forms of work, you could see many more jobs wiped out.

So I just want to ask, how likely is it really that these tools create that kind of job loss?

And what are the AI companies saying about it?